EPN-V2

YFHDPRA3 Teaching Practice, 3rd period Course description

Course name in Norwegian
3. praksisperiode
Study programme
Bachelor’s Programme in Vocational Teacher Education
Weight
0.0 ECTS
Year of study
2022/2023
Programme description
Course history

Introduction

Se omtale av praksis i programplanen

Required preliminary courses

Se omtale av praksis i programplanen

Learning outcomes

Se omtale av praksis i programplanen

Content

This course is primarily aimed at PhD candidates admitted to the PhD programme in Health Sciences and PhD students from Memorial University, Newfoundland. General terms for admission to the course is a completed master's degree in molecular biology or equivalent qualification (e.g. completed MABIO4400). Priority will be given to PhD candidates from HIOA and Memorial University, Newfoundland.

Note that all students must have a laptop not more than 2 years old (windows 7 or more recent or mac with OS X). The laptop must be able to connect to wireless network.

Teaching and learning methods

Se omtale av praksis i programplanen

Course requirements

On completion of the course, the PhD candidate has achieved the following learning outcomes, defined in terms of knowledge, skills, and general competence:

Knowledge

The PhD candidate

  • is able to conduct bioinformatics analysis projects in agreement with best practice (transparency and reproducibility) in the field of bioinformatic science's philosophy
  • is in the forefront of knowledge about the current high throughput sequencing (HTS) technologies and understands the differences, benefits and drawbacks of these HTS technologies
  • can evaluate and make sound decisions on which platform and bioinformatic approach to use for different HTS projects.
  • Can contribute to development of new knowledge and interpret results from various HTS applications

Skills

The PhD candidate can

  • Plan a HTS research project and choose optimal sequencing platform
  • Carry out the relevant bioinformatic analyses both on the command-line (unix) and R-studio, and utilize web-based resources like Galaxy server and Genbank E-utilities.
  • Interpret the results of bioinformatics analysis of HTS (e.g. reliability, sensitivity and specificity) and judge their value for answering biological questions
  • Disseminate the results of HTS based research

General competence

The PhD candidate can

  • argue in favour of particular HTS technologies or bioinformatic approaches on the basis of current knowledge
  • argue in favour of the kind of materials and the number of samples to select/include in different kinds of HTS projects
  • can participate in discussions on HTS methodology

Assessment

Se omtale av praksis i programplanen

Permitted exam materials and equipment

None

Grading scale

All obligatory exercises must be completed to take the final exam. The final exam is an individual home examination over 6 hours. One internal and one external examiner will assess the answer papers submitted by all candidates.

Examiners

Grades are awarded on the basis of pass or fail.